Comment by anthk

Sadly, Excel and the dumbness of the environment generated disasters on Genomics (and tons of other research areas too) causing millions if not billions of losses. Hint: skewed experiments/data and so on, making years of effort worthless.

That woudn't happen under BioPython/BioPer/Rl and a custom dedicated interface with no data mangling at all.

Poeple in the 90's joked about how MS turned the whole IT industry 20 years back. Now, literally, and not just IT.

And that's sad, because you have Turbo Pascal, Windows NT, the VB6 IDE against C/C++ libraries... good products on MS where data correctned was granted with low level libraries called from VB. For sure BLAS/Lapack would exist in the 90's as products for Visual C/C++.

Reusing MS Office for advanced tasks was the key of the shitty computing we were suffering on tons of places. Such as the idiots using Excel tables for Covid patients instead of having a proper SQL database. Even SQlite (IDK about the constraints, maybe it fits) could have been a better choice.

People said with Unix "Worse it's beter". He, nowadays even NDB 'databases' would grant you correctness on scientific data (it's plain text with tuples) that these rotten binary, propietary, office bound pseudo databases and spreadsheets. Or even AWK with CSV's/TSV's.